BSc Data Science SEM V 2023 2024 Jan 2024 DS COMPUTER VISION Question Paper - Mumbai University | munotes
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Questions asked in this paper
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Q1 Attempt any three of the following: 15 marks
- a. Write a short note on Radiometric quantities
- b. Explain the shape generation from shading State and explain the rotation and reflection in 2D geometric transformation
- d. State and explain most used stereo matching constraints and assumptions
- e. Explain the various goals of computer vision
- f. Explain the concept of Inverse Random transform-Fourier transform method
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Q2 Attempt any three of the following: 15 marks
- a. Write a note on Power Law transformation and Digital Negative
- b. Explain the concept of Discrete Fourier transform What is Image filtering? Write a short note on median filter
- d. What are colour models? Explain any three types of colour models
- e. State and explain applications of binary morphological operations
- f. Explain the concept of watershed algorithm
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Q3 Attempt any three of the following: 15 marks
- a. What is Gabor filter?
- b. Explain the concept of Canny Edge detector in Edge detection
- c. Write a short note on Chain code and shape number
- d. Explain the concept of Harris corner detector
- e. Write short note on Histogram of Oriented Gradients (HOG)
- f. Explain the Sobel and Prewitt operators as edge detection operators
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Q4 Attempt any three of the following: a Explain the concept of Linear regression b State and explain the steps in pattern recognition Also explain the types of classifiers c Write a short note on Gaussian classifier d Explain Artificial Neural Network for pattern classification e Write a short note on Autoencoder f Explain the basic difference between supervised and unsupervised learning 15 marks
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Q5 Attempt any three of the following: 15 marks
- a. Explain the process of clustering for image segmentation
- b. Write a short note on object tracking Explain the major challenges of hand gesture recognition
- d. Write a note on Blob matching
- e. Write a short note on Facial expression recognition system
- f. Explain Image fusion methods
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